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118 lines
5.3 KiB
Python
118 lines
5.3 KiB
Python
from app import db, logger, socketio
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from app.events import connected_sessions
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from app.models import Corpus
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from flask import current_app, request
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from flask_login import current_user, login_required
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from .CQiWrapper.CQiWrapper import CQiWrapper
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import sys
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import gzip
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import zlib
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import json
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'''
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' A dictionary containing lists of, with corpus ids associated, Socket.IO
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' session ids (sid). {<corpus_id>: [<sid>, ...], ...}
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'''
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corpus_analysis_sessions = {}
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'''
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' A dictionary containing Socket.IO session id - CQi client pairs.
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' {<sid>: CQiClient, ...}
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'''
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corpus_analysis_clients = {}
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@socketio.on('request_corpus_analysis')
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@login_required
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def request_corpus_analysis(corpus_id):
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corpus = Corpus.query.get(corpus_id)
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if corpus is None:
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socketio.emit('init_corpus_analysis', '[404]: Not Found',
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room=request.sid)
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elif not (corpus.creator == current_user
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or current_user.is_administrator()):
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socketio.emit('init_corpus_analysis', '[403]: Forbidden',
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room=request.sid)
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else:
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socketio.start_background_task(corpus_analysis_session_handler,
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current_app._get_current_object(),
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corpus_id, request.sid)
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@socketio.on('corpus_analysis')
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@login_required
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def corpus_analysis(message):
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client = corpus_analysis_clients.get(request.sid)
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if client is None:
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socketio.emit('query', '[424]: Failed Dependency',
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room=request.sid)
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return
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""" Prepare and execute a query """
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corpus = 'CORPUS'
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query = (message['query'])
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query_subcorpus = 'Results'
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client.cqp_query(corpus, query_subcorpus, query)
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data = {'matches': [], 'cpos_lookup': {}, 'text_loopup': {}}
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""" Evaluate query results """
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match_corpus = '{}:{}'.format(corpus, query_subcorpus)
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match_num = min(int(message['hits_per_page']), client.cqp_subcorpus_size(match_corpus))
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match_boundaries = zip(client.cqp_dump_subcorpus(match_corpus,
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0x10,
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0, match_num - 1),
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client.cqp_dump_subcorpus(match_corpus,
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0x11,
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0, match_num - 1))
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context = 15
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corpus_len = 10000
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for match_start, match_end in match_boundaries:
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data['matches'].append({'lc': list(range(max(0, match_start - int(message['context'])), match_start)),
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'hit': list(range(match_start, match_end + 1)),
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'rc': list(range(match_end + 1, min(corpus_len, match_end + 1 + int(message['context']))))})
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cpos_list = []
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for match in data['matches']:
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cpos_list += match['lc'] + match['hit'] + match['rc']
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cpos_list = list(set(cpos_list))
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pos_list = client.cl_cpos2str('{}.pos'.format(corpus), cpos_list)
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simple_pos_list = client.cl_cpos2str('{}.simple_pos'.format(corpus), cpos_list)
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s_id_list = client.cl_cpos2struc('{}.s'.format(corpus), cpos_list)
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text_id_list = client.cl_cpos2struc('{}.text'.format(corpus), cpos_list)
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word_list = client.cl_cpos2str('{}.word'.format(corpus), cpos_list)
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for cpos, pos, simple_pos, s_id, text_id, word in zip(cpos_list, pos_list, simple_pos_list, s_id_list, text_id_list, word_list):
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data['cpos_lookup'][cpos] = {'pos': pos, 'simple_pos': simple_pos, 's_id': s_id, 'text_id': text_id, 'word': word}
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text_author_list = client.cl_struc2str('{}.text_author'.format(corpus), text_id_list)
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text_publishing_year_list = client.cl_struc2str('{}.text_publishing_year'.format(corpus), text_id_list)
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text_title_list = client.cl_struc2str('{}.text_title'.format(corpus), text_id_list)
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for text_id, text_author, text_publishing_year, text_title in zip(text_id_list, text_author_list, text_publishing_year_list, text_title_list):
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data['text_loopup'][text_id] = {'author': text_author, 'publishing_year': text_publishing_year, 'title': text_title}
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socketio.emit('corpus_analysis', data, room=request.sid)
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def corpus_analysis_session_handler(app, corpus_id, session_id):
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with app.app_context():
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''' Setup analysis session '''
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corpus = Corpus.query.get(corpus_id)
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while corpus.status != 'analysing':
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db.session.refresh(corpus)
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socketio.sleep(3)
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client = CQiWrapper(host='analyse_corpus_{}'.format(corpus_id))
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client.connect()
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corpus_analysis_clients[session_id] = client
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if corpus_id not in corpus_analysis_sessions:
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corpus_analysis_sessions[corpus_id] = [session_id]
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else:
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corpus_analysis_sessions[corpus_id].append(session_id)
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socketio.emit('request_corpus_analysis', '[201]: Created',
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room=session_id)
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''' Observe analysis session '''
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while session_id in connected_sessions:
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socketio.sleep(3)
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''' Teardown analysis session '''
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client.disconnect()
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corpus_analysis_clients.pop(session_id, None)
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corpus_analysis_sessions[corpus_id].remove(session_id)
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if not corpus_analysis_sessions[corpus_id]:
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corpus_analysis_sessions.pop(corpus_id, None)
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corpus.status = 'stop analysis'
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db.session.commit()
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